Automatic Fish Tracking by Kalman filter
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Background Subtraction, labelling, tracking, Kalman filter.
Abstract
One of the phases of research is the computer vision for automatic tracking and acquisition of knowledge about the migratory behavior of fish. For that purpose, some fishes are marked, then introduced into an experimental medium. Thus, throughout all observations, a big video database of sequences is collected the background subtraction method is used to detect the fish then we apply the labelling of connected components for extracting all information about fishes. The tracking of fish will be obtained by Kalman filtering.
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